title: Design of an unobtrusive system for fall detection in multiple occupancy residences.
abstract: A small trial was conducted to examine the feasibility of detecting falls using a combination of ambient passive infrared (PIR) and pressure mat (PM) sensors in a home with multiple occupants. The key tracking method made use of graph theoretical concepts to track each individual in the residence and to monitor them independently for falls. The proposed algorithm attempts to recognize falls where the subject experiences a hard fall on an indoor surface that leads to loss of consciousness or an inability to get up from the floor without assistance, due to severe injuries. The sensitivity, specificity and accuracy of the algorithm in detecting falls are 85.00%, 80.00% and 82.86%, respectively.
authors.forename: Arni
authors.initials: A
authors.lastname: Ariani
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Redmond
authors.forename: Zhaonan
authors.initials: Z
authors.lastname: Zhang
authors.forename: Michael R
authors.initials: MR
authors.lastname: Narayanan
authors.forename: Nigel H
authors.initials: NH
authors.lastname: Lovell
mesh_terms: D000058:Accidental Falls; D000203:Activities of Daily Living; D000328:Adult; D000465:Algorithms; D005260:Female; D006801:Humans; D008297:Male; D009068:Movement; D058998:Remote Sensing Technology; D012107:Research Design